Tech Stack

Description

You will gather, analyze, and visualize data from development lifecycle tools to identify bottlenecks and measure automation success, helping technical teams become more efficient. Your work supports internal engineering and development teams by providing insights that drive process improvements in DevOps and DataOps.

Requirements

• 2+ years of experience in a data analyst or similar role
• Strong proficiency in SQL for querying and data manipulation
• Experience with Python or R for data cleaning and analysis
• Proficiency with a data visualization tool such as Tableau or Power BI
• A strong analytical mindset and the ability to work through complex data problems
• Active TS or TS/SCI clearance

Responsibilities

• Query and analyze data from various sources, including CI/CD systems (e.g., GitLab), project management tools (e.g., Jira), and application logs, to support automation initiatives
• Build and maintain dashboards and reports in tools like Tableau or Power BI to track key engineering metrics such as pipeline success rates, deployment frequency, and cycle times
• Support senior analysts and leads by providing data and analysis to help quantify the impact of automation projects (e.g., time saved, errors reduced)
• Assist in identifying trends and patterns in operational data that may indicate opportunities for process improvement or automation
• Help prepare and present findings to the team, translating data into clear visualizations and summaries
• Document your analytical processes and data sources to ensure repeatability and clarity